Towards an AI-based early warning system for bridge scour-Reference-Cited by-同舟云学术

Towards an AI-based early warning system for bridge scour

Published:2023-06-26 Issue:4 Volume:17 Page:713-739
ISSN:1749-9518
Container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards
language:en
Short-container-title:Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards

Author:

Yousefpour Negin¹^ORCID,Correa Oscar²

Affiliation:

1. Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC, Australia

2. School of Computing and Information Systems, The University of Melbourne, Parkville, VIC, Australia

Funder

Arup Global Research

Publisher

Informa UK Limited

Subject

Geology,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17499518.2023.2222371

Reference44 articles.

1. Arneson L. L. Zevenbergen P. Lagasse and P. Clopper. 2012. “Evaluating Scour at Bridges-Fifth Edition Hydraulic Engineering Circular No. 18.” Federal Highway Administration (FHWA).

2. Genetic Programming to Predict Bridge Pier Scour

3. Balestriero R. J. Pesenti and Y. LeCun. 2021. “Learning in High Dimension Always Amounts to Extrapolation.” CoRR abs/2110.09485.

4. IEEE Transactions on Neural Networks

5. Briaud J.-L. S. Hurlebaus K. Chang C. Yao H. Sharma O-Y. Yu and G. Price. 2011. “Real-Time Monitoring of Bridge Scour Using Remote Monitoring Technology.” Rep. No. 0-6060-1 Texas A&M University/TTI.

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning Application in Prediction of Scour Around Bridge Piers: A Comprehensive Review;Archives of Computational Methods in Engineering;2024-08-28

2. Machine Learning Methods for Geotechnical Site Characterization and Scour Assessment;Transportation Research Record: Journal of the Transportation Research Board;2024-07-25

3. Review of intelligent detection and health assessment of underwater structures;Engineering Structures;2024-06

4. Early detection of internal erosion in earth dams: combining seismic monitoring and convolutional AutoEncoders;Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards;2023-08-23